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Papers
Is Micro Domain-Adaptive Pre-Training Effective for Real-World Operations? Multi-Step Evaluation Reveals Potential and Bottlenecks
EACL 2026
Are Checklists Really Useful for Automatic Evaluation of Generative Tasks?
EMNLP 2025
Do Large Language Models Understand Word Senses?
EMNLP 2025
From Understanding to Generation: An Efficient Shortcut for Evaluating Language Models
EMNLP 2025
Omni-ID: Holistic Identity Representation Designed for Generative Tasks
CVPR 2025
BERTs are Generative In-Context Learners
NeurIPS 2024
DiffSal: Joint Audio and Video Learning for Diffusion Saliency Prediction
CVPR 2024
Improving Industrial Safety by Auto-Generating Case-specific Preventive Recommendations
EMNLP 2024
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming
ICML 2024
LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks
ACL 2024
SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types
NeurIPS 2024
Timer: Generative Pre-trained Transformers Are Large Time Series Models
ICML 2024